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1. The results of sensitivity analysis establish ranges for the decision variables within which the current solution remains optimal
1. true
2. false
2. It is possible, after a change in an objective function coefficient, to have an optimal solution with the same value for the decision variables but a different value for the objective function
3. Right hand side sensitivity reveals provides details in the limitation of variable values that will cause changes in the RHS
4. It has been determined that the optimal solution of a linear programming problem occurs at the intersection of the constraint lines 5x1 + 3x2 = 300 and 4x1 + 9x2 = 600. What can be said about the objective function with regards to sensitivity analysis
1. The constraints are maximized
2. Its optimal value cannot exceed 600
3. The slope is between -5/3 and -4/9
4. The problem is infeasible
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